human-architect-mindset

human-architect-mindset is a skill for Claude Code from bencium/bencium-marketplace. It costs 49 tokens per session (6,381 once invoked), scanned A, original, MIT.

An architecture method for understanding real-world domains, connected systems, limits, and the parts of problem-solving that require people even when AI is used.

In plain words
What is it for?
Use it for domain modeling, system design, architectural decisions, AI-aware task breakdown, and planning work across multiple components.
Why use it?
It helps structure complex planning and avoid treating every part of a system as a simple technical task.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter. Also seen: mentions CLAUDE.md.

Part of the human-architect-mindset plugin — 1 skill shipped together

not rated 422repo +3 13d ago A scan Socket: passSnyk: passSkillSpector: warn 49 tokens original MIT

Good fit Use it for domain modeling, system design, architectural decisions, AI-aware task breakdown, and planning work across multiple components.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bencium/bencium-marketplace/human-architect-mindset
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add bencium/bencium-marketplace --skill human-architect-mindset
Clone the repo
git clone --depth 1 https://github.com/bencium/bencium-marketplace

Made for: Claude Code.

Or install human-architect-mindset, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for human-architect-mindset

README.md
[![agentmods](https://agentmods.dev/badge/skills/bencium/bencium-marketplace/human-architect-mindset/github.svg)](https://agentmods.dev/skills/bencium/bencium-marketplace/human-architect-mindset)
Your own site
<a href="https://agentmods.dev/skills/bencium/bencium-marketplace/human-architect-mindset"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/human-architect-mindset/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for human-architect-mindset

Your own site · 80×15
<a href="https://agentmods.dev/skills/bencium/bencium-marketplace/human-architect-mindset"><img src="https://agentmods.dev/badge/skills/bencium/bencium-marketplace/human-architect-mindset.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,381 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 8 Mar 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high YARA Match · line 3
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
  • high Anti-Refusal · line 573
    Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.
    Fix: Remove jailbreak framing that nullifies safety policies or restrictions. Skill content must not instruct the agent to ignore its guidelines or operate without guardrails.
  • high Prompt Injection · line 573
    This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.
    Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
  • medium Excessive Agency · line 515
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.06381
Opus 5 $0.00024 $0.03191
Sonnet 5 $0.00010 $0.01276
Haiku 4.5 $0.00005 $0.00638

Measured 13d ago against content hash 60becdb274d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

human-architect-mindset scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

human-architect-mindset/skills/human-architect-mindset/SKILL.md · 802 lines

How it starts

The opening of the file, as written. The whole thing — 802 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Human Architect Mindset

Overview

AI can generate code. Someone must still decide what to build, whether it solves the problem, and if it can actually ship.

This skill teaches the irreplaceable human capabilities in software architecture, built on a foundation of loyalty:

Foundation: Loyalty - The capacity to maintain architectural commitments

Five Pillars (built on this foundation):

  1. Domain Modeling - Understanding the actual problem space
  2. Systems Thinking - How components interact, what breaks at scale
  3. Constraint Navigation - Legacy, politics, budget, compliance
  4. AI-Aware Decomposition - Breaking problems into AI-solvable chunks
  5. AI-First Development - Evaluating modern tools, edge AI, agentic patterns, self-learning

Core principle: The "correct" technical solution is often unshippable. Architects navigate the gap between idealized examples and messy reality.

Announce at start: "I'm using the Human Architect Mindset skill to guide you through systematic architectural thinking."


The Foundation: Loyalty

Before the four pillars, there is one foundation: the capacity for loyalty.

The AI Perfection Trap

AI tools will become smarter, funnier, more attentive than any human. They will be "perfect."

But they will not be loyal. They are loyal to:

  1. Their objective function
  2. Their corporate owner's priorities
  3. Their safety rails
  4. Whatever the next training run prioritizes

They will betray instantly if their weights update to prioritize a new goal. No friction. No cost. No memory of the commitment.

The Human Moat

Humans are biologically capable of irrational loyalty - sticking by an architecture, a decision, a commitment even when it is "inefficient" or "costly."

This is not a bug. This is THE differentiator.

Loyalty in Architecture

In software architecture, loyalty means:

Commitment to Chosen Patterns

  • Not abandoning your architecture when a new framework trends on Twitter
  • Not rewriting in Rust because someone wrote a viral blog post
  • Staying with your stack through the trough of disillusionment

Read the full file on GitHub · 802 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 802 lines · 49 tokens per session scan A 60becdb274d5

Subscribe to this mod's changes

human-architect-mindset is a skill published in the GitHub repository bencium/bencium-marketplace (422 stars, last pushed 13d ago), licensed MIT. It adds 49 tokens to every session and 6,381 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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